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Question answering over temporal knowledge graphs (TKGs) is crucial for understanding evolving facts and relationships, yet its development is hindered by limited datasets and difficulties in generating custom QA pairs. We propose a novel categorization framework based on timeline-context relationships, along with \textbf{TimelineKGQA}, a universal temporal QA generator applicable to any TKGs. The code is available at: \url{https://github.com/PascalSun/TimelineKGQA} as an open source Python package.

President Biden was asked by PBS' Judy Woodruff about his classified documents scandal in his first interview since the controversy broke last month. Members of Congress have taken a sharp tone towards the possible mishandling of classified documents by President Biden, former President Trump and former Vice President Pence in recent weeks, and many have called for legislative action to prevent such occurrences from happening again. It's unclear, however, what action Congress could take, considering the level of classification of documents has been managed by the executive branch of the U.S. government since the time of the late President Franklin Roosevelt, and no members speaking out on the issue have provided any specifics as to what can actually be done to address the problem. "Holding classified documents in anything other than a very secure setting is a risk to national security that is very serious and needs to be resolved. And there are a number of elements to that," Sen. Mitt Romney, R-Utah, said last month after reports surfaced that Pence was the latest to be in possession of classified documents, and just weeks after some had been found at Biden's home and former office. Biden, Pence, and Donald Trump are under intense scrutiny for classified documents being found at their personal properties.

In 1939, shortly before the German invasion of Poland, a British emissary, Lord Lothian, visited the White House with an unusual request. The United Kingdom was unable to protect the world from the Nazis, Lothian told President Franklin Delano Roosevelt. "Anglo-Saxon civilization" would thus need a new guardian. The scepter was falling from British hands, Lothian explained, and the United States must "snatch it up." Though informally made, it was an extraordinary entreaty.

Many individuals picture a robot or a terminator when they catch wind of Machine Learning (ML) or Artificial Intelligence (AI). However, they aren't something out of motion pictures, it is anything but a cutting edge dream. We are living in a situation with numerous cutting edge applications developed using machine learning, despite that there are certain challenges an ML practitioner might face while developing an application from zero to bringing them to production. Data plays a key role in any use case. For beginners to experiment with machine learning, they can easily find data from Kaggle, UCI ML Repository, etc.

Many individuals picture a robot or a terminator when they catch wind of Machine Learning (ML) or Artificial Intelligence (AI). However, they aren't something out of motion pictures, it is anything but a cutting edge dream. We are living in a situation with numerous cutting edge applications developed using machine learning, despite that there are certain challenges an ML practitioner might face while developing an application from zero to bringing them to production. Data plays a key role in any use case. For beginners to experiment with machine learning, they can easily find data from Kaggle, UCI ML Repository etc.

Ken Burns has spent the last 40 years chronicling the most poignant and influential events in American history. The 66-year-old Oscar-nominated filmmaker has crafted definitive and multifaceted histories of the Civil War, baseball, the Roosevelts, cancer, country music and jazz. In an age of short Tweets and shorter attention spans, Burns's films are sprawling, deep-dive studies on topics that simultaneously reveal the best and worst of America. We are living through one of those moments right now as the coronavirus shakes every aspect of American life. With most of the country stuck at home and weathering a torrent of fear and breaking news, Burns is offering an alternative.

Among them is that systems of governance are not immortal and that democracies can devolve into autocracy. As institutions decay and social norms fray, democratic processes and practices are prone to apathy, demagoguery and disintegration. One scholar ringing the loudest alarm bell--or perhaps death knell--is David Runciman. He is a professor of politics at Cambridge University and the author of "How Democracy Ends". His replies are followed by an excerpt from the book. Upgrade your inbox and get our Daily Dispatch and Editor's Picks.

It's a pretty safe bet to say that former US President Theodore Roosevelt would have loved machine learning, writes Derek Canfield, the general manager for Business Analytics at TEOCO. He left behind a treasure trove of quotes, but one of his most famous ones is perhaps even truer today than it was for Teddy. "I believe the more you know about the past, the better prepared you are for the future." There's a lesson right there for today's communications service providers (CSPs), many of whom are preparing to face the future while struggling to overcome the challenge of digital business transformation. Faced with new potential content partnerships, the introduction of new revenue streams, and the opportunities of the Internet of Things (IoT), the options for CSP reinvention are endless and there are almost too many choices and decisions to make.

Five years ago, a team of researchers from Google announced a remarkable achievement in one of the world's top scientific journals, Nature. Without needing the results of a single medical check-up, they were nevertheless able to track the spread of influenza across the US. What's more, they could do it more quickly than the Centers for Disease Control and Prevention (CDC). Google's tracking had only a day's delay, compared with the week or more it took for the CDC to assemble a picture based on reports from doctors' surgeries. Google was faster because it was tracking the outbreak by finding a correlation between what people searched for online and whether they had flu symptoms. Not only was "Google Flu Trends" quick, accurate and cheap, it was theory-free. Google's engineers didn't bother to develop a hypothesis about what search terms – "flu symptoms" or "pharmacies near me" – might be correlated with the spread of the disease itself.